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Digital Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29024

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Improving Quality of Business Networks for Information Systems
Computer networks are essential part in computerbased information systems. The performance of these networks has a great influence on the whole information system. Measuring the usability criteria and customers satisfaction on small computer network is very important. In this article, an effective approach for measuring the usability of business network in an information system is introduced. The usability process for networking provides us with a flexible and a cost-effective way to assess the usability of a network and its products. In addition, the proposed approach can be used to certify network product usability late in the development cycle. Furthermore, it can be used to help in developing usable interfaces very early in the cycle and to give a way to measure, track, and improve usability. Moreover, a new approach for fast information processing over computer networks is presented. The entire data are collected together in a long vector and then tested as a one input pattern. Proposed fast time delay neural networks (FTDNNs) use cross correlation in the frequency domain between the tested data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented time delay neural networks is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.
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[43] Hazem M. El-Bakry, "A Novel High Speed Neural Model for Fast Pattern Recognition," Accepted for publication in Soft Computing Journal.
[44] Hazem M. El-Bakry, "Fast Virus Detection by using High Speed Time Delay Neural Networks," Accepted for publication in journal of computer virology.
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